Eric Silverman

889 citations
45 papers · 377 · h-index 11

Impact in

Papers in

Eric Silverman

43 papers receiving 360 citations

Peers

Eric Silverman
Comparison fields: 5 of 110
  • Management Science and Operations Research 92
  • Family Practice 14
  • Modeling and Simulation 27
  • Demography 57
  • Emergency Medical Services 20
Replace Yilin Ning with:
Yilin Ning Singapore
Romaric Marcilly France
Sharon Wood United Kingdom
Neli Regina Siqueira Ortega Brazil
Samina Abidi Canada
Grace Y. Yi Canada
Fabrizio Pecoraro Italy
Noreen Kamal Canada
David Ohlssen Switzerland
Terence J. Lyons United States
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Citations per field
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Citations per year

Countries citing papers authored by Eric Silverman

Since Specialization
Citations

This map shows the geographic impact of Eric Silverman's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Eric Silverman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eric Silverman more than expected).

Fields of papers citing papers by Eric Silverman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Eric Silverman. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Eric Silverman. The network helps show where Eric Silverman may publish in the future.

Co-authors

The 25 scholars most cited alongside Eric Silverman, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Eric Silverman Line = papers co-authored together Eric Silverman links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202265
2 201325
3 201625
4 202023
5 201323
6 201520
7 201220
8 201817
9 200316
10 201115
11 201713
12 201310
13 201610
14 20139
15 20197
16 20147
17 20196
18 20116
19 20215
20
A Robotic Approach to Understanding Robustness
20095

About Eric Silverman

Eric Silverman is a scholar working on Management Science and Operations Research, Demography, General Health Professions, Statistical and Nonlinear Physics and Surgery, having authored 45 papers that have together received 377 indexed citations. Recurring topics across this work include demographic modeling and climate adaptation (12 papers), Insurance, Mortality, Demography, Risk Management (5 papers), Opinion Dynamics and Social Influence (5 papers), Global Health Care Issues (4 papers), Evolutionary Game Theory and Cooperation (4 papers), Health disparities and outcomes (3 papers), Migration, Aging, and Tourism Studies (3 papers) and Language and cultural evolution (2 papers). The work is most often cited by research in Management Science and Operations Research (92 citations), Family Practice (14 citations), Modeling and Simulation (27 citations), Demography (57 citations) and Emergency Medical Services (20 citations). Eric Silverman has collaborated with scholars based in United Kingdom, United States and France. Frequent co-authors include Jakub Bijak, Elisabeth Yaneske, Claudio Angione, Jason Noble, Adam I. Levine, Samuel DeMaria, Andrew Goldberg, Seth Bullock, Athina Vlachantoni and John Spivack. Their work appears in journals such as PLoS ONE, Artificial Life, Demographic Research, Population Studies and Scientific Reports.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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